{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a5601679",
   "metadata": {},
   "source": [
    "[代码参考链接-唐国梁Tommy-轻松学PyTorch 肺部感染识别](https://www.bilibili.com/video/BV1wk4y1B77W)<br>\n",
    "[数据链接](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4266b5c7",
   "metadata": {},
   "source": [
    "### 1. 加载库\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ed025b03",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torchvision\n",
    "from torchvision import datasets, transforms, models, utils\n",
    "from torch.utils.data import DataLoader\n",
    "from torchvision.utils import make_grid\n",
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from torch.optim import lr_scheduler\n",
    "import time\n",
    "import copy\n",
    "from torch.utils.tensorboard.writer import SummaryWriter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48cc27d1",
   "metadata": {},
   "source": [
    "### 2. 定义一个方法显示图片 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2791d5bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 官网上查找imhsow(), https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html\n",
    "\n",
    "def image_show(inp, title=None):\n",
    "    plt.figure(figsize=(14, 3))\n",
    "    inp = inp.numpy().transpose((1, 2, 0))\n",
    "    mean = np.array([0.485, 0.456, 0.406])\n",
    "    std = np.array([0.229, 0.224, 0.225])\n",
    "    inp = std * inp + mean\n",
    "    inp = np.clip(inp, 0, 1)\n",
    "    plt.imshow(inp)\n",
    "    if title is not None:\n",
    "        plt.title(title)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "784ac01c",
   "metadata": {},
   "source": [
    "### 3. 定义超参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "86446820",
   "metadata": {},
   "outputs": [],
   "source": [
    "BATCH_SIZE = 8  # 每批处理的数据数量\n",
    "DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1c92c07",
   "metadata": {},
   "source": [
    "### 4. 图片转换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ac654316",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_transforms = {\n",
    "    'train': transforms.Compose([\n",
    "        transforms.Resize(300),\n",
    "        transforms.RandomResizedCrop(300),\n",
    "        transforms.RandomHorizontalFlip(),\n",
    "        transforms.CenterCrop(256),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], \n",
    "                             [0.229, 0.224, 0.225])\n",
    "    ]),\n",
    "    \n",
    "    'val': transforms.Compose([\n",
    "        transforms.Resize(300),\n",
    "        transforms.CenterCrop(224),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], \n",
    "                             [0.229, 0.224, 0.225])\n",
    "    ]),\n",
    "    \n",
    "    'test': transforms.Compose([\n",
    "        transforms.Resize(size=300),\n",
    "        transforms.CenterCrop(size=256),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], \n",
    "                             [0.229, 0.224, 0.225])\n",
    "    ])\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60907178",
   "metadata": {},
   "source": [
    "### 5. 操作数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "54af5a53",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 加载数据集路径\n",
    "data_path = './chest_xray/chest_xray/'\n",
    "\n",
    "# 加载数据集 train 和 val\n",
    "image_datasets = {x: datasets.ImageFolder(os.path.join(data_path, x), data_transforms[x])\n",
    "                 for x in ['train', 'val']}\n",
    "\n",
    "# 为数据集创建一个迭代器，读取数据\n",
    "dataloaders = {x: DataLoader(image_datasets[x], batch_size=BATCH_SIZE ,shuffle=True)\n",
    "              for x in ['train', 'val']}\n",
    "\n",
    "# 训练集和验证集的大小（图片的数量）\n",
    "datasets_sizes = {x: len(image_datasets[x]) for x in ['train', 'val']}\n",
    "\n",
    "# 获取标签的类别名称： normal 正常  PNEUMONIA 感染\n",
    "target_names = image_datasets['train'].classes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1491c98",
   "metadata": {},
   "source": [
    "### 6. 显示一个`batch_size`的图片（8张图片）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "88647a26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 读取 8 张图片\n",
    "datas, targets = next(iter(dataloaders['train']))\n",
    "\n",
    "# 将若干张图片拼成一幅图像\n",
    "out = make_grid(datas, nrow=4, padding=10)\n",
    "\n",
    "# 显示图片\n",
    "image_show(out, title=[target_names[x] for x in targets])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbfe3f1f",
   "metadata": {},
   "source": [
    "### 7. 迁移学习：拿到一个成熟的模型`RESNET50`，进行模型微调\n",
    "<br>\n",
    "\n",
    "![](https://img-blog.csdnimg.cn/20190529172052544.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQyMjc4Nzkx,size_16,color_FFFFFF,t_70)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e42f1a4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 更改池化层\n",
    "class AdaptiveConcatPool2d(nn.Module):\n",
    "    def __init__(self, size=None):\n",
    "        super().__init__()\n",
    "        size = size or (1, 1)  # 池化层的卷积核大小，默认值为（1，1）\n",
    "        \n",
    "        self.pool_one = nn.AdaptiveConcatPool2d(size)  # 池化层1\n",
    "        self.pool_two = nn.AdaptiveConcatPool2d(size)  # 池化层2\n",
    "    \n",
    "    def forward(self, x):\n",
    "        return torch.cat((self.pool_one(x), self.pool_two(x)), 1)  # 连接两个池化层, 按维数1（列）拼接"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0ec7d5c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_model():\n",
    "    model_pre = models.resnet50(pretrained=True)    # 获取预训练模型\n",
    "    # 冻结预训练模型中所有参数\n",
    "    for param in model_pre.parameters():\n",
    "        param.requires_grad = False\n",
    "        \n",
    "    # 微调模型：替换ResNet 最后的两层网络，返回一个新的模型\n",
    "    model_pre.avgpool = AdaptiveConcatPool2d()  # 池化层替换\n",
    "    model_pre.fc = nn.Sequential(nn.Flatten(),   # 所有维度拉平\n",
    "                                 nn.BatchNorm1d(4096),  # 256 *6 *6 = 4096\n",
    "                                 nn.Dropout(0.5),   # 丢掉一些神经元\n",
    "                                 nn.Linear(4096, 512),  # 线性层处理\n",
    "                                 nn.Relu(),\n",
    "                                 nn.BatchNorm1d(512),  # 正则化处理\n",
    "                                 nn.Linear(512, 2),\n",
    "                                 nn.Logsoftmax(dim=1)  # 损失函数\n",
    "                                )\n",
    "    \n",
    "    return model_prel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b3d7558",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
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